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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 22628
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    Explanations

    phrases related to problem-solving and leadership

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to truth and inevitability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     withd
    -0.62
     Seym
    -0.58
    ãĤ¶
    -0.57
    anwhile
    -0.57
     Moroc
    -0.55
    escription
    -0.55
    76561
    -0.54
    senal
    -0.52
     subur
    -0.52
    Previously
    -0.51
    POSITIVE LOGITS
     ain
    0.80
     yours
    0.76
    )!
    0.72
     deserve
    0.67
     damn
    0.67
     damned
    0.64
    !--
    0.63
     shit
    0.63
    )?
    0.61
    ':
    0.61
    Activations Density 1.107%

    No Known Activations